Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems.
Javed AshrafAsim D. BakhshiNour MoustafaHasnat KhurshidAbdullah JavedAmin BeheshtiPublished in: IEEE Trans. Intell. Transp. Syst. (2021)
Keyphrases
- deep learning
- intelligent transportation systems
- restricted boltzmann machine
- unsupervised learning
- traffic flow
- wireless communication
- anomaly detection
- machine learning
- traffic management
- mental models
- weakly supervised
- recurrent neural networks
- ubiquitous computing
- traffic congestion
- real time
- neural network
- temporal information
- autonomous vehicles